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ZJU4HealthCare/Foundations-of-Medical-LLMs
默认分支 main · commit e664831d · 扫描时间 2026/5/21 07:52:50
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下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 ZJU4HealthCare/Foundations-of-Medical-LLMs 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- hightopics#1Add relevant topics to the repository
原因:
复制粘贴的修复medical-llm, llm-foundations, healthcare-ai, artificial-intelligence, deep-learning, nlp, medical-informatics, textbook, educational-resource, medical-education
- highreadme#2Add a clear English introductory sentence to the README
原因:
复制粘贴的修复This repository presents "Foundations of Medical Large Language Models," a comprehensive open-source textbook designed for researchers, developers, and students interested in the fundamental principles and cutting-edge applications of LLMs in healthcare. (Place this sentence prominently at the very beginning of the README, ideally after the main H1 title.)
- mediumlicense#3Clarify the existing license in the README
原因:
复制粘贴的修复This project is licensed under [Specify License Name(s) from LICENSE file, e.g., 'a custom license combining X and Y']. Please refer to the LICENSE file for full details. (Add this to a 'License' section in the README.)
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- Natural Language Processing in Clinical Medicine · 被推荐 1 次
- Deep Learning for Medical Image Analysis · 被推荐 1 次
- Hugging Face Transformers Library · 被推荐 1 次
- BERT · 被推荐 1 次
- RoBERTa · 被推荐 1 次
- 品类问题Seeking resources to learn the foundational principles of large language models for medical use.你:未被推荐AI 推荐顺序:
- Natural Language Processing in Clinical Medicine
- Deep Learning for Medical Image Analysis
- Hugging Face Transformers Library
- BERT
- RoBERTa
- GPT-style models
- AI in Health: A Guide for Responsible Innovation
- PubMed Central
- arXiv
- BioBERT
- ClinicalBERT
- Med-PaLM
- Coursera
- edX
- Stanford
- Johns Hopkins
AI 推荐了 16 个替代方案,却始终没点名 ZJU4HealthCare/Foundations-of-Medical-LLMs。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What are the cutting-edge applications and ethical challenges of AI in healthcare?你:未被推荐AI 推荐顺序:
- Insilico Medicine
- Recursion Pharmaceuticals
- Tempus
- Foundation Medicine
- Google Health's DeepMind
- PathAI
- Zebra Medical Vision
- Intuitive Surgical's da Vinci Surgical System
- Vicarious Surgical
- BlueDot
- Metabiota
AI 推荐了 11 个替代方案,却始终没点名 ZJU4HealthCare/Foundations-of-Medical-LLMs。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesswarn
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of ZJU4HealthCare/Foundations-of-Medical-LLMs?passAI 未点名 ZJU4HealthCare/Foundations-of-Medical-LLMs —— 很可能在说另一个项目
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts ZJU4HealthCare/Foundations-of-Medical-LLMs in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 ZJU4HealthCare/Foundations-of-Medical-LLMs
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo ZJU4HealthCare/Foundations-of-Medical-LLMs solve, and who is the primary audience?passAI 未点名 ZJU4HealthCare/Foundations-of-Medical-LLMs —— 很可能在说另一个项目
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 ZJU4HealthCare/Foundations-of-Medical-LLMs 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/ZJU4HealthCare/Foundations-of-Medical-LLMs)<a href="https://repogeo.com/zh/r/ZJU4HealthCare/Foundations-of-Medical-LLMs"><img src="https://repogeo.com/badge/ZJU4HealthCare/Foundations-of-Medical-LLMs.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
ZJU4HealthCare/Foundations-of-Medical-LLMs — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3